Hierarchical Random Graph Model for Off-line Handwritten Signatures Recognition. - Marcin Piekarczyk (CISIS, 2010)

Hierarchical Graph-Grammar Model for Secure and Efficient Handwritten Signatures Classification. - Marcin Piekarczyk; Marek R. Ogiela (J. Univers. Comput. Sci., 2011)

Random Graph Languages for Distorted and Ambiguous Patterns: Single Layer Model. - Marek R. Ogiela; Marcin Piekarczyk (IMIS, 2012)

Matrix-Based Hierarchical Graph Matching in Off-Line Handwritten Signatures Recognition. - Marcin Piekarczyk; Marek R. Ogiela (ACPR, 2013)

Dependence of Kinect sensors number and position on gestures recognition with Gesture Description Language semantic classifier. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk (FedCSIS, 2013)

Real-Time Recognition of Selected Karate Techniques Using GDL Approach. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk (IP&C, 2013)

Usability of the Fuzzy Vault Scheme Applied to Predetermined Palm-Based Gestures as a Secure Behavioral Lock. - Marcin Piekarczyk; Marek R. Ogiela (3PGCIC, 2015)

The Touchless Person Authentication Using Gesture-Types Emulation of Handwritten Signature Templates. - Marcin Piekarczyk; Marek R. Ogiela (BWCCA, 2015)

On Using Palm and Finger Movements as a Gesture-Based Biometrics. - Marcin Piekarczyk; Marek R. Ogiela (INCoS, 2015)

Signal Recognition Based on Multidimensional Optimization of Distance Function in Medical Applications. - Krzysztof Wójcik; Bogdan Wzietek; Piotr Wzietek; Marcin Piekarczyk (CN, 2016)

Averaging Three-Dimensional Time-Varying Sequences of Rotations: Application to Preprocessing of Motion Capture Data. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk; Katarzyna Koptyra (SCIA (1), 2017)

The open online repository of karate motion capture data: A tool for scientists and sport educators. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk (SSCI, 2017)

Advanced human motion analysis and visualization: Comparison of mawashi-geri kick of two elite karate athletes. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk; Katarzyna Koptyra (SSCI, 2017)

Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate Athletes. - Tomasz Hachaj; Marcin Piekarczyk; Marek R. Ogiela (Sensors, 2017)

Supporting Rehabilitation Process with Novel Motion Capture Analysis Method. - Tomasz Hachaj; Marcin Piekarczyk; Marek R. Ogiela (EECS, 2018)

Signal Processing Methods in Human Motion Path Analysis: A Use Case for Karate Kata. - Tomasz Hachaj; Marcin Piekarczyk; Marek R. Ogiela (EECS, 2018)

How Repetitive are Karate Kicks Performed by Skilled Practitioners? - Tomasz Hachaj; Marcin Piekarczyk; Marek R. Ogiela (ICCAE, 2018)

Using the Evolutionary Computation Approach in the Initial Phase of Protocol Discovering. - Dariusz Palka; Marcin Piekarczyk; Krzysztof Wójcik (ICAISC (1), 2019)

Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor. - Tomasz Hachaj; Marcin Piekarczyk (Sensors, 2019)

Radial Basis Functions Intended to Determine the Upper Bound of Absolute Dynamic Error at the Output of Voltage-Mode Accelerometers. - Krzysztof Tomczyk; Marcin Piekarczyk; Grzegorz Sokal (Sensors, 2019)

Machine Learning Methodology in a System Applying the Adaptive Strategy for Teaching Human Motions. - Krzysztof Wójcik; Marcin Piekarczyk (Sensors, 2020)

Towards A Global Cosmic Ray Sensor Network: CREDO Detector as the First Open-Source Mobile Application Enabling Detection of Penetrating Radiation. - Lukasz Bibrzycki; Dariusz Burakowski; Piotr Homola; Marcin Piekarczyk; Michal Niedzwiecki; Krzysztof Rzecki; Slawomir Stuglik; Arman Tursunov; Bohdan Hnatyk; David E. Alvarez-Castillo; Katarzyna Smelcerz; Jaroslaw Stasielak; et al. (Symmetry, 2020)

Cosmic-Ray Extremely Distributed Observatory. - Piotr Homola; Dmitriy Beznosko; Gopal Bhatta; Lukasz Bibrzycki; Michalina Borczynska; Lukasz Bratek; Nikolay Budnev; Dariusz Burakowski; David E. Alvarez-Castillo; Kévin Almeida Cheminant; Aleksander Cwikla; Punsiri Dam-O; et al. (Symmetry, 2020)

Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras. - Tomasz Hachaj; Marcin Piekarczyk; Lukasz Bibrzycki (ICONIP (5), 2021)

Zernike Moment Based Classification of Cosmic Ray Candidate Hits from CMOS Sensors. - Olaf Bar; Lukasz Bibrzycki; Michal Niedzwiecki; Marcin Piekarczyk; Krzysztof Rzecki; Tomasz Sosnicki; Slawomir Stuglik; Michal Frontczak; Piotr Homola; David E. Alvarez-Castillo; Thomas Andersen; Arman Tursunov (Sensors, 2021)

Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network. - Tomasz Hachaj; Lukasz Bibrzycki; Marcin Piekarczyk (Sensors, 2021)

CNN-Based Classifier as an Offline Trigger for the CREDO Experiment. - Marcin Piekarczyk; Olaf Bar; Lukasz Bibrzycki; Michal Niedzwiecki; Krzysztof Rzecki; Slawomir Stuglik; Thomas Andersen; Nikolay Budnev; David E. Alvarez-Castillo; Kévin Almeida Cheminant; Dariusz Góra; Alok C. Gupta; et al. (Sensors, 2021)

A Search for Cosmic Ray Bursts at 0.1 PeV with a Small Air Shower Array. - Roger Clay; Jassimar Singh; Piotr Homola; Olaf Bar; Dmitry Beznosko; Apoorva Bhatt; Gopal Bhatta; Lukasz Bibrzycki; Nikolay Budnev; David E. Alvarez-Castillo; Niraj Dhital; Alan R. Duffy; et al. (Symmetry, 2022)

A New Method of Simulation of Cosmic-ray Ensembles Initiated by Synchrotron Radiation. - Oleksandr Sushchov; Piotr Homola; Marcin Piekarczyk; Ophir Ruimi; Kévin Almeida Cheminant; Olaf Bar; Lukasz Bibrzycki; Bohdan Hnatyk; Péter Kovács; Bartosz Lozowski; Michal Niedzwiecki; Slawomir Stuglik; et al. (Symmetry, 2022)

Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived Embedding. - Tomasz Hachaj; Marcin Piekarczyk; Jaroslaw Was (IJCRS, 2023)

Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers. - Tomasz Hachaj; Lukasz Bibrzycki; Marcin Piekarczyk (IEEE Access, 2023)

The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms. - Tomasz Hachaj; Marcin Piekarczyk (Sensors, 2023)

On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging Observational Data. - Marcin Piekarczyk; Tomasz Hachaj (Sensors, 2024)

Detection of potentially anomalous cosmic particle tracks acquired with CMOS sensors: Validation of rough k-means clustering with PCA feature extraction. - Tomasz Hachaj; Marcin Piekarczyk; Jaroslaw Was (Int. J. Appl. Math. Comput. Sci., 2025)